AI development: machine learning and LLM applications
We build AI features that solve a precise problem: assistants that answer from your documents, models that forecast and classify, and automations that handle the paperwork for you. Deployed on your infrastructure or ours, with your data kept under your control.
What we deliver
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LLM assistants & RAG
Chat assistants that answer from your documents, procedures and databases, with sources cited and access rights respected.
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Document automation
Extract data from invoices, forms and contracts, classify incoming documents and route them to the right team.
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Predictive models
Forecasting, scoring, recommendation and anomaly detection, trained on your history and measured against clear metrics.
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Arabic, French & English
Language models and search that handle Arabic, French and English the way your customers actually write.
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AI agents & integrations
Agents that act inside your tools — ERP, CRM, ticketing — through secure APIs, with human approval where it matters.
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Private deployment
Open models hosted on your servers or ours when data must not leave, with quality and cost monitored in production.
From idea to production, not just a demo
Most AI projects stall after a promising prototype. We start from the business problem and the data you actually have, agree on how success will be measured, and only then choose the model: a fine-tuned open model, a hosted LLM, or classic machine learning when it is the better tool.
Because we also run infrastructure, we take care of what comes after the prototype: deployment, security, access control, monitoring of answer quality and cost, and regular updates.
- A first working prototype on your own data early in the project
- Evaluation sets and metrics agreed with you before going live
- Your data is never used to train third-party models without your consent
How we work
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Discovery
We map the use case, the data available and how we will measure success.
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Prototype
A working prototype on a sample of your data, evaluated with your team.
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Build
Integration into your tools, security, access rights and automated tests.
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Deploy & monitor
Production deployment with monitoring of quality, latency and cost.
Frequently asked questions
Do we need a lot of data to start?
Not always. An LLM assistant can work with your existing documents from day one. Predictive models need history; during discovery we tell you honestly whether you have enough.
Where is our data processed?
Where you decide. We can run open models on your servers or ours so the data never leaves, or use hosted APIs if you accept it.
Can the AI make mistakes?
Yes, which is why we measure it. We build evaluation sets with your team, show sources for every answer, and keep a human in the loop for sensitive decisions.
Have a use case in mind?
Describe it in a few lines. We tell you whether AI is the right tool and what a first prototype would look like.